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Advanced Information and Knowledge Processing

Developing Multi-Database Mining Applications

Authors: Adhikari, Animesh, Ramachandrarao, Pralhad, Pedrycz, Witold

  • One of the first books on multi-database data mining.
  • Discusses the various issues regarding the systematic and efficient development of multi-database mining applications.
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eBook $119.00
price for USA
  • ISBN 978-1-84996-044-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $159.00
price for USA
  • ISBN 978-1-84996-043-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-1-4471-2563-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Multi-database mining is recognized as an important and strategic area of research in data mining. The authors discuss the essential issues relating to the systematic and efficient development of multi-database mining applications, and present approaches to the development of data warehouses at different branches, demonstrating how carefully selected multi-database mining techniques contribute to successful real-world applications. In showing and quantifying how the efficiency of a multi-database mining application can be improved by processing more patterns, the book also covers other essential design aspects. These are carefully investigated and include a determination of an appropriate multi-database mining model, how to select relevant databases, choosing an appropriate pattern synthesizing technique, representing pattern space, and constructing an efficient algorithm. The authors illustrate each of these development issues either in the context of a specific problem at hand, or via some general settings. Developing Multi-Database Mining Applications will be welcomed by practitioners, researchers and students working in the area of data mining and knowledge discovery.

About the authors

Animesh Adhikari is an associate professor in the department of Computer Science, Chowgule College, Goa, India. His education includes: Doctor of Philosophy in Computer Science, Goa University, Goa, India (2009); Master of Technology in Computer Science, Indian Statistical Institute, Kolkata, India (1993); Master of Computer Application, Jadavpur University, Kolkata, India (1991). The dissertations he has written cover: [Ph D] Knowledge Discovery in Databases with an Emphasis on Multiple Large Databases (Goa University, 2009). This dissertation has the following parts: (i) Association analysis and patterns recognition in a database, (ii) Pattern recognition in multiple databases, (iii) Developing better multi-database mining applications; [M Tech] Fractal-based Image Segmentation (Indian Statistical Institute, 1993). Adhikari’s areas of interest include: data mining and knowledge discovery, database systems, decision support systems, artificial intelligence, statistics and other related topics. Adhikari’s professional activities are: Member, Program Committee, Indian International Conference on Artificial Intelligence (2009) Session Chair, Data Mining and Knowledge Discovery, Indian International Conference on Artificial Intelligence (2009); Reviewer, IEEE Transactions on Knowledge and Data Engineering journal; Member, Editorial Board, International Journal of Knowledge-Based Organizations, IGI Global (2009 - date); Member, Program Committee, Ph D Workshop;International Conference on Management of Data (2009); Reviewer, IEEE Transactions on Parallel and Distibuted Systems journal. Witold Pedrycz is a Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. Dr. Pedrycz is an IEEE Fellow, IFSA Fellow and a Fellow of the Engineering Institute of Canada (EIC). Dr. Pedrycz received the M.Sc., and Ph.D., D.Sci. all from the Silesian University of Technology, Gliwice, Poland. His main research interests encompass fundamentals of Computational Intelligence, Granular Computing, fuzzy modeling, knowledge discovery and data mining, fuzzy control including fuzzy controllers, pattern recognition, knowledge-based neural networks, relational computing, and Software Engineering. He has published vigorously in these areas. He is an author of 11 research monographs and over 250 journal papers published in highly reputable journals. His research is highly cited and he is also on the list Highly cited researcher on ISI HighlyCited.com. Dr. Pedrycz is the past president of IFSA and the past president of NAFIPS. He is a recipient of the prestigious Norbert Wiener Award which is one of the two highest awards of the IEEE Systems, Man, and Cybernetics Society. He is also a recipient of the K.S. Fu of NAFIPS and a 2008 IEEE Canada Silver Medal in Computer Engineering Dr. Pedrycz has been a member of numerous program committees of IEEE conferences in the area of Computational Intelligence, Granular Computing, fuzzy sets and neurocomputing. He was a Program Chair of the 2007 Int. Conf on Machine Learning and Cybernetics, August 19-22, 2007, Hong Kong. He was also a General Chair of NAFIPS 2004, June 24-26, 2004, Banff, Alberta- a flagship conference of the NAFIPS Society. Currently Dr. Pedrycz serves as an Associate Editor of IEEE Transactions on Fuzzy Systems. He is on editorial boards of over 10 international journals. Dr Pedrycz is also an Editor-in-Chief of Information Sciences and IEEE Transactions on Systems, Man, and Cybernetics part A.

Table of contents (7 chapters)

  • Introduction

    Adhikari, Animesh (et al.)

    Pages 1-13

  • An Extended Model of Local Pattern Analysis

    Adhikari, Animesh (et al.)

    Pages 15-35

  • Mining Multiple Large Databases

    Adhikari, Animesh (et al.)

    Pages 37-50

  • Mining Patterns of Select Items in Multiple Databases

    Adhikari, Animesh (et al.)

    Pages 51-70

  • Enhancing Quality of Knowledge Synthesized from Multi-database Mining

    Adhikari, Animesh (et al.)

    Pages 71-94

Buy this book

eBook $119.00
price for USA
  • ISBN 978-1-84996-044-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $159.00
price for USA
  • ISBN 978-1-84996-043-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-1-4471-2563-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Developing Multi-Database Mining Applications
Authors
Series Title
Advanced Information and Knowledge Processing
Copyright
2010
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84996-044-1
DOI
10.1007/978-1-84996-044-1
Hardcover ISBN
978-1-84996-043-4
Softcover ISBN
978-1-4471-2563-1
Series ISSN
1610-3947
Edition Number
1
Number of Pages
X, 130
Topics